In order to test ML-based systems, metamorphic testing is used to describe the system functionality in terms of generic relations between inputs, the generic transformations of those inputs, and their outputs.
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In our blog, we take a deep dive into the latest QA strategies, methodologies, and industry best practices driving the world of quality assurance. Follow our blog to get new ideas as to how to effectively deliver high-quality, bug-free software products, websites, and applications, while keeping costs low.
In order to test ML-based systems, metamorphic testing is used to describe the system functionality in terms of generic relations between inputs, the generic transformations of those inputs, and their outputs.
In recent years, conventional SaaS models have evolved into sophisticated service-oriented platforms geared toward enhancing business efficiencies and capabilities between the company and its suppliers, clients, and business partners. Artificial intelligence has become an integral part of SaaS 2.0, as AI-based SaaS integrations allow businesses to cater to their customers’ needs in DTC, B2C, and B2B markets.
What are the major challenges of software testing automation and how will this innovative approach resolve them? This expert series covers an overview of AI techniques used to power software test automation.
Organizations generate volumes of data in the form of documents, chatbots, product reviews, etc. Most of this data is unstructured text, and manually extracting information from this raw text data can be difficult and expensive.
Every company wants the future of technology implemented today. That’s why the AI industry rapidly grows year after year and continues to be one of the biggest automation testing technologies trends in software testing. Adding machine learning and AI to your QA testing strategy can be both exciting and scary. It’s always fun to engage with new technology and discover all the key benefits of AI in QA test automation. But what impact does AI and ML bring to software QA? And should that change be embraced or rejected?
Text analytics is the process of transforming unstructured data into evocative data to understand feedback, opinions, and sentiments. Read more to know about Common Computational steps and our Text Analytics expertise.
Sentiment Analysis is a technique that makes it possible by sorting and analyzing thousands of opinions, feedback, and complaints. It allows organizations to identify the positive, neutral, and negative responses of end-users.
Automation is a testing technique that follows predefined rules. Artificial Intelligence is designed to simulate human behavior, intelligence and thinking. Now, what would happen if software engineers blend automation with artificial intelligence? Robotic process automation would come into play. What exactly is robotic process automation (RPA)? Our expert AI and test automation engineers have put together all you need to know about RPA in order to achieve maximum ROI.
Data science is pertinent to many fields including finance, social media, security, healthcare, defense, medicine, economics, marketing, fraud detection, geolocation, and many more. During different phases of Data Science, data is discovered, conditioned, extracted, compiled, processed, analyzed, interpreted, modeled, visualized, reported, and presented regardless of the size of the data being processed to have some actionable items to be used for business purposes. In this newsletter, we bring you the concepts that help us to gain insight into Data Science and its trends, Data Science types, Machine Learning Life cycle so that you can have good understanding about it.
QASource Blog, for executives and engineers, shares QA strategies, methodologies, and new ideas to inform and help effectively deliver quality products, websites and applications.
Our bloggers are the test management experts at QASource. They are executives, QA managers, team leads, and testing practitioners. Their combined experience exceeds 100 years and they know how to optimize QA efforts in a variety of industries, domains, tools, and technologies.
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